Zenith Wet Delay Retrieval Using Two Different Techniques for the South American Region and Their Comparison
Retrieving atmospheric water vapor content using GNSS claimed the attention of the geodetic community ever since the beginning of the GPS deployment. The main purpose of the present work is to propose a comparison of the Zenith Wet Delay (ZWD) retrieved by GPS with the direct measurements provided by the water vapor radiometer loaded on-board the Jason-1 altimetry satellite and those obtained from SIRGAS (Geocentric Reference System for the Americas) GNSS reference stations. In this respect, the work proposes a methodology for the comparison and contributes to assess the capabilities of SIRGAS permanent network to provide water vapor informations that can be useful both for short-term weather forecasting and for long-term climate studies. For the period from June 2008 to June 2010 the tropospheric parameters of more than 100 SIRGAS stations were estimated using Bernese 5.0 software with a time interval of 15 min. Since Jason-1 returns reliable measurements only over open ocean areas, a subset of 14 stations located along the coastline was selected for the comparison. A dedicated software was developed in order to effectively manage the huge amount of Jason-1 data, mainly devoted to data selection according to site position, time interval and data filtering using quality flag indicators. The Zenith Hydrostatic Delay (ZHD) provided by the European Center for Medium Weather Forecasting (ECMWF) were first corrected up to the GPS station height and then used to derive the ZWD from the GPS estimated Zenith Total Delay (ZTD). The agreement between the techniques was evaluated in terms of bias and standard deviation of the differences (i.e. GPS ZWD − Jason-1 ZWD ) resulting in 7.4 mm and 15.4 mm, respectively. The average correlation coefficient is 0.93.
KeywordsZenith wet delay retrieval GNSS Jason-1 radiometer SIRGAS permanent network
We thank all the Reviewers for their valuable suggestions that helped improving the present research. This work was partially supported by Progetto di cooperazione Scientifica e Tecnologica Italia-Argentina 2011–2013.
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